@inproceedings{obeid-etal-2019-adida,
    title = "{ADIDA}: Automatic Dialect Identification for {A}rabic",
    author = "Obeid, Ossama  and
      Salameh, Mohammad  and
      Bouamor, Houda  and
      Habash, Nizar",
    editor = "Ammar, Waleed  and
      Louis, Annie  and
      Mostafazadeh, Nasrin",
    booktitle = "Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics (Demonstrations)",
    month = jun,
    year = "2019",
    address = "Minneapolis, Minnesota",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/N19-4002",
    doi = "10.18653/v1/N19-4002",
    pages = "6--11",
    abstract = "This demo paper describes ADIDA, a web-based system for automatic dialect identification for Arabic text. The system distinguishes among the dialects of 25 Arab cities (from Rabat to Muscat) in addition to Modern Standard Arabic. The results are presented with either a point map or a heat map visualizing the automatic identification probabilities over a geographical map of the Arab World.",
}